EY Senior Manager AI & Data Solution Architect UKI 

United Kingdom, England, London 

16722510

About the Role

We are seeking an experiencedto join our AI and Data consulting practice and lead the design and implementation of cutting-edge data and AI solutions for our enterprise clients. This role requires a strategic thinker who can bridge business requirements with technical execution, delivering scalable, cloud-native architectures that drive measurable business value.

Impact you deliver for our clients

• Design and architect end-to-end AI and data solutions on Azure or AWS, leveraging modern data and AI platforms such as Snowflake and Databricks
• Develop comprehensive architecture blueprints including data ingestion, processing, storage, analytics, and AI/ML capabilities
• Define data governance frameworks, security protocols, and compliance standards aligned with industry regulations
• Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements

• Serve as the trusted technical advisor to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries
• Present complex technical concepts and solution roadmaps to both technical and non-technical audiences
• Lead architecture review boards and provide technical governance throughout project lifecycles

• Oversee the implementation of data lakes, data warehouses, and lakehouse architectures
• Ensure solutions are optimized for performance, cost-efficiency, and scalability
• Define integration patterns between cloud platforms, third-party applications, and legacy systems
• Actively contribute to practice development as a technical thought leader in AI and Data topics

Experience

• senior Manager level experience in data and analytics, with evidenced experiece in solution architecture roles
• Strong team leadership skills with ability to inspire and coach a team of solution architects
• Proven track record of architecting enterprise-scale data solutions for organizations in consumer products, retail, health, energy or life sciences industries
• Deep expertise in Microsoft Azure data and AI services or AWS Data and AI Services.
• Strong hands-on experience with Snowflake and/or Databricks platforms
• Experience leading large-scale digital transformation or data modernisation migration programs with experience in cloud-native data architectures including data lakes, data warehouses, and lakehouse patterns

• Strong understanding of AI/ML frameworks, MLOps practices, and model governance including familiarity with DevOps/DataOps practices and CI/CD pipelines

• Mentor junior architects and technical teams on best practices and emerging technologies

• Stay current with emerging trends in AI, machine learning, data engineering, and cloud technologies and Identify opportunities for solution accelerators, reusable frameworks, and IP development
• Prepare technical solutions and architectures as part of bid responses and proposals

Preferred Qualifications

• Deep understanding of industry-specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry
• Experience with domain-specific use cases such as commercial, supply chain, finance or operations
• Advanced level AI and Data architecture certification in Snowflake. Microsoft Azure , AWS or Databricks

Soft Skills

• Exceptional communication and presentation skills with ability to influence senior stakeholders
• Strong analytical and problem-solving capabilities
• Ability to manage multiple client engagements simultaneously
• Collaborative mindset with experience working in cross-functional teams
• Client-facing consulting experience with Big 4 or similar professional services firms preferred